public static WaveletCollection FromWaveletData(IEnumerable <double> waveletData)
{
int index = 0;
double smoothingCoefficient = waveletData.ElementAt(index++);
List <List <double> > decomposition = new List <List <double> >();
int levelCount = (int)Scalars.Logarithm(2, waveletData.Count());
for (int levelIndex = 0; levelIndex < levelCount; levelIndex++)
{
List <double> level = new List <double>();
int itemCount = (int)Scalars.Exponentiate(2, levelIndex);
for (int itemIndex = 0; itemIndex < itemCount; itemIndex++)
{
level.Add(waveletData.ElementAt(index++));
}
decomposition.Add(level);
}
return(new WaveletCollection(smoothingCoefficient, decomposition));
}
public double NextExponential(double minimum, double maximum)
{
return(Scalars.Logarithm(NextDouble(Scalars.Exponentiate(minimum), Scalars.Exponentiate(maximum))));
}
public override IEnumerable <double> Evaluate(IEnumerable <double> values)
{
yield return(Scalars.Logarithm(values.ElementAt(0)));
}
